Joaquim J. Barroso

3.1k total citations
212 papers, 2.2k citations indexed

About

Joaquim J. Barroso is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Joaquim J. Barroso has authored 212 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Electrical and Electronic Engineering, 108 papers in Aerospace Engineering and 95 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Joaquim J. Barroso's work include Gyrotron and Vacuum Electronics Research (83 papers), Particle accelerators and beam dynamics (54 papers) and Advanced Antenna and Metasurface Technologies (50 papers). Joaquim J. Barroso is often cited by papers focused on Gyrotron and Vacuum Electronics Research (83 papers), Particle accelerators and beam dynamics (54 papers) and Advanced Antenna and Metasurface Technologies (50 papers). Joaquim J. Barroso collaborates with scholars based in Brazil, Türkiye and United States. Joaquim J. Barroso's co-authors include Uğur Cem Hasar, J.O. Rossi, Mehmet Ertuğrul, Yunus Kaya, Pedro J. Castro, Konstantin Georgiev Kostov, Edl Schamiloglu, Musa Bute, Mirabel Cerqueira Rezende and Elbert E. N. Macau and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and Materials Science and Engineering A.

In The Last Decade

Joaquim J. Barroso

199 papers receiving 2.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Joaquim J. Barroso Brazil 25 1.1k 820 745 515 338 212 2.2k
G. Rubinacci Italy 28 1.1k 1.0× 375 0.5× 454 0.6× 343 0.7× 94 0.3× 159 2.3k
Jianguo Wang China 29 2.1k 1.9× 394 0.5× 2.0k 2.6× 253 0.5× 473 1.4× 271 3.2k
Oszkár Bíró Austria 29 2.8k 2.5× 325 0.4× 679 0.9× 1.3k 2.4× 526 1.6× 255 3.9k
R. Albanese Italy 29 891 0.8× 834 1.0× 278 0.4× 217 0.4× 180 0.5× 182 3.0k
Vasundara V. Varadan United States 31 922 0.8× 1.3k 1.6× 885 1.2× 568 1.1× 153 0.5× 235 3.4k
Herbert De Gersem Germany 23 1.3k 1.2× 118 0.1× 236 0.3× 559 1.1× 350 1.0× 273 1.9k
Markus Clemens Germany 22 1.4k 1.3× 180 0.2× 585 0.8× 237 0.5× 175 0.5× 211 2.2k
Pavel Ripka Czechia 29 3.5k 3.2× 433 0.5× 891 1.2× 604 1.2× 88 0.3× 233 4.4k
Emmanouil E. Kriezis Greece 30 2.3k 2.1× 350 0.4× 1.5k 2.0× 885 1.7× 124 0.4× 197 3.3k
Giovanni Miano Italy 27 1.0k 0.9× 162 0.2× 821 1.1× 687 1.3× 72 0.2× 178 2.1k

Countries citing papers authored by Joaquim J. Barroso

Since Specialization
Citations

This map shows the geographic impact of Joaquim J. Barroso's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Joaquim J. Barroso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joaquim J. Barroso more than expected).

Fields of papers citing papers by Joaquim J. Barroso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joaquim J. Barroso. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Joaquim J. Barroso. The network helps show where Joaquim J. Barroso may publish in the future.

Co-authorship network of co-authors of Joaquim J. Barroso

This figure shows the co-authorship network connecting the top 25 collaborators of Joaquim J. Barroso. A scholar is included among the top collaborators of Joaquim J. Barroso based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joaquim J. Barroso. Joaquim J. Barroso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rossi, J.O., et al.. (2024). Performance Evaluation of Low-Voltage Capacitive Nonlinear Transmission Lines. IEEE Transactions on Plasma Science. 52(2). 461–468.
2.
Hasar, Uğur Cem, et al.. (2023). Close link between Fabry–Pérot resonance and natural-resonance frequencies. Waves in Random and Complex Media. 36(2). 2380–2390. 4 indexed citations
3.
Antonelli, Eduardo, et al.. (2023). Development of Tunable Ferroelectric Ceramic Capacitors. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 70(8). 885–892. 1 indexed citations
4.
Rossi, J.O., et al.. (2022). Analysis of the sharpening effect in gyromagnetic nonlinear transmission lines using the unidimensional form of the Landau–Lifshitz–Gilbert equation. Review of Scientific Instruments. 93(6). 65101–65101. 4 indexed citations
5.
Rossi, J.O., et al.. (2022). RF generation using a compact bench gyromagnetic line. Review of Scientific Instruments. 93(2). 24704–24704. 6 indexed citations
6.
Rossi, J.O., et al.. (2021). Material Selection for Axial Magnetization of a Gyromagnetic NLTL for Space Applications. Journal of Microwaves Optoelectronics and Electromagnetic Applications. 20(3). 629–642. 4 indexed citations
7.
Rossi, J.O., et al.. (2020). Increasing the Voltage Modulation Depth of the RF Produced by NLTL. IEEE Transactions on Plasma Science. 48(10). 3367–3372. 7 indexed citations
8.
Rossi, J.O., et al.. (2018). Hybrid Nonlinear Transmission Lines Used for RF Soliton Generation. IEEE Transactions on Plasma Science. 46(10). 3648–3652. 12 indexed citations
9.
Rossi, J.O., et al.. (2018). Improving the voltage modulation depth and RF power generated on Nonlinear Transmission lines. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 416–420. 2 indexed citations
10.
Rossi, J.O., et al.. (2018). Operation of a Gyromagnetic Line at Low and High Voltages With Simultaneous Axial and Azimuthal Biases. IEEE Transactions on Plasma Science. 46(7). 2573–2581. 9 indexed citations
11.
Rossi, J.O., et al.. (2018). Practical Constraints on Nonlinear Transmission Lines for RF Generation. IEEE Transactions on Plasma Science. 47(1). 1000–1016. 27 indexed citations
12.
Barroso, Joaquim J., et al.. (2017). Negative group velocity in resistive lossy left‐handed transmission lines. IET Microwaves Antennas & Propagation. 11(15). 2235–2240. 9 indexed citations
13.
Rossi, J.O., et al.. (2016). High-Power RF Generation From Nonlinear Transmission Lines With Barium Titanate Ceramic Capacitors. IEEE Transactions on Plasma Science. 44(12). 3424–3431. 33 indexed citations
14.
Barroso, Joaquim J., et al.. (2016). Influence of Input Pulse Shape on RF Generation in Nonlinear Transmission Lines. IEEE Transactions on Plasma Science. 44(10). 2258–2267. 19 indexed citations
15.
Schamiloglu, Edl, et al.. (2016). Simulation Studies of Distributed Nonlinear Gyromagnetic Lines Based on <italic>LC</italic> Lumped Model. IEEE Transactions on Plasma Science. 44(10). 2232–2239. 14 indexed citations
16.
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18.
Hasar, Uğur Cem, Joaquim J. Barroso, Cumali Sabah, Yunus Kaya, & Mehmet Ertuğrul. (2012). Differential uncertainty analysis for evaluating the accuracy of S-parameter retrieval methods for electromagnetic properties of metamaterial slabs. Optics Express. 20(27). 29002–29002. 17 indexed citations
19.
Barroso, Joaquim J., et al.. (2002). Cylindrical Waveguide with Axially Rippled Wall. 2(6). 75–89. 7 indexed citations
20.
Arlot, Jean-Eudes, W. Thuillot, Joaquim J. Barroso, et al.. (1992). A catalogue of the observations of the mutual phenomena of the Galilean satellites of Jupiter made in 1985 during the PHEMU85 campaign. Astronomy & Astrophysics Supplement Series. 92(1). 151–205. 11 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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